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ECM-algorithms that converge at the rate of EM
Sexton, Joe; Swensen, Anders Rygh - 1999
This paper describes a way of constructing an ECM algorithm such that it converges at the rate of the EM algorithm. The approach is motivated by the well known conjugate directions algorithm, and a special case of it is when the parameters corresponding to different CM steps are orthogonal....
Persistent link: https://www.econbiz.de/10011968015
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ECM-algorithms that converge at the rate of EM
Sexton, Joe; Swensen, Anders Rygh - Statistisk Sentralbyrå, Government of Norway - 1999
This paper describes a way of constructing an ECM algorithm such that it converges at the rate of the EM algorithm. The approach is motivated by the well known conjugate directions algorithm, and a special case of it is when the parameters corresponding to different CM steps are orthogonal....
Persistent link: https://www.econbiz.de/10004980575
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Multivariate exploratory data analysis for large databases: An application to modelling firms' innovation using CIS data
Bou-Llusar, Juan Carlos; Satorra, Albert - In: BRQ Business Research Quarterly 22 (2019) 4, pp. 275-293
This paper argues that, when using a large database, organizational researchers would benefit from the use of specific multivariate exploratory data analysis (MEDA) before performing statistical modelling. Issues such as the representativeness of the database across domains (countries or...
Persistent link: https://www.econbiz.de/10013327684
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Multivariate exploratory data analysis for large databases : An application to modelling firms' innovation using CIS data
Bou-Llusar, Juan Carlos; Satorra, Albert - In: Business research quarterly : BRQ 22 (2019) 4, pp. 275-293
This paper argues that, when using a large database, organizational researchers would benefit from the use of specific multivariate exploratory data analysis (MEDA) before performing statistical modelling. Issues such as the representativeness of the database across domains (countries or...
Persistent link: https://www.econbiz.de/10012120176
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Clustered panel data models: an efficient approach for nowcasting from poor data
MOUCHART, Michel; ROMBOUTS, Jeroen - Center for Operations Research and Econometrics (CORE), … - 2003
clustering approach into the usual panel data model specification. A case study in the field of R&D variables illustrates the …
Persistent link: https://www.econbiz.de/10005008511
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Organizational competitiveness : a systematic literature review
Kotenko, Stanislav; Heiets, Iryna; Yacout, Diina - In: Marketing i menedžment innovacij : m&mi (2021) 3, pp. 175-187
Persistent link: https://www.econbiz.de/10013162679
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Abordagem Conexionista para Análise Espacial Exploratória de Dados Socioeconômicos de Territórios Rurais
Silva, Marcos Aurélio Santos da; Siqueira, Edmar Ramos de - In: Brazilian Journal of Rural Economy and Sociology (RESR) 48 (2010) 2
the Self-Organizing Map (SOM). Through the use of SOM clustering and data visualization can be conducted simultaneously …
Persistent link: https://www.econbiz.de/10011143052
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Missing data estimation based on the chaining technique in survey sampling
Thakur, Narendra Singh; Shukla, Diwakar - In: Statistics in transition : an international journal of … 23 (2022) 4, pp. 91-111
Sample surveys are often affected by missing observations and non-response caused by the respondents' refusal or unwillingness to provide the requested information or due to their memory failure. In order to substitute the missing data, a procedure called imputation is applied, which uses the...
Persistent link: https://www.econbiz.de/10014287900
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Visualization of big data text analytics in financial industry : a case study of topic extraction for Italian banks
Krstić, Živko; Seljan, Sanja; Zoroja, Jovana - In: Proceedings of the ENTRENOVA - ENTerprise REsearch … 5 (2019) 1, pp. 67-75
Textual data and analysis can derive new insights and bring valuable business insights. These insights can be further leveraged by making better future business decisions. Sources that are used for text analysis in financial industry vary from internal word documents, email to external sources...
Persistent link: https://www.econbiz.de/10012227595
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Q3-D3-LSA
Borke, Lukas; Härdle, Wolfgang - 2016
similarity-based document clustering and knowledge discovery. In particular, different LSA configurations together with … hierarchical clustering reveal good results under M3 evaluation. QuantNet and the corresponding Data-Driven Documents (D3) based … visualization can be found and applied under http://quantlet.de. The driving technology behind it is Q3-D3-LSA, which is the …
Persistent link: https://www.econbiz.de/10011572047